Henry Greenside, Professor of Physics and Neurobiology and Faculty Network Member of Duke Institute for Brain Sciences  

Henry Greenside

Office Location: 097 Physics Bldg, Science Drive, Durham, NC 27708
Office Phone: (919) 660-2548
Email Address: hsg@phy.duke.edu
Web Page: http://www.phy.duke.edu/~hsg/

Specialties:
Biological physics
Nonlinear dynamics and complex systems

Education:
Ph.D., Princeton University, 1981
MS, Princeton, 1978
M.A., Princeton University, 1977
B.A., Harvard University, 1974

Research Categories: Theoretical Neuroscience

Current projects: Modeling synfire chains that might explain sparse precise robust bursting in, song nucleus HVC. Analyzing changes in spine stability during song learning with the, goal of understanding the tradeoff between modifying synaptic strengths versus, changing connectivity of local networks.

Research Description: After working in nonlinear dynamics and nonequilibrium pattern formation for many years, my research group has begun studying problems in theoretical neurobiology in collaboration with Professor Richard Mooney's experimental group on birdsong at Duke University. The main scientific question we are interested in is how songbirds learn to sing their song, which is a leading experimental paradigm for the broader neurobiology question of how animals learn behaviors that involve sequences of time. My group is interested in problems arising at the cellular and network levels (as opposed to behavioral levels). One example is understanding the origin, mechanism, and eventually the purpose of highly sparse high-frequency bursts of spikes that are observed in the nucleus HVC of songbird brains (this is the first place where auditory information seems to be combined with motor information). A second example is to understand how auditory and motor information are combined, e.g., there are data that suggests that the same group of neurons that instruct the respiratory and syringeal muscles to produce song (again in nucleus HVC) are also involved in recognizing song. A third example is trying to understand changes in anatomy (increases in spine stability) that were recently observed in living brain tissue as a bird learns its song.

Teaching (Spring 2016):   (typical courses)

  • Physics 415.01, Biophysics ii Synopsis
    Physics 235, TuTh 10:05 AM-10:55 AM; Bio sci 154, Th 04:40 PM-05:55 PM

Recent Publications   (More Publications)

  1. H. Greenside, Using an Android Tablet with Active Stylus To Create Screencasts Easily and Inexpensively (2014) [available here]  [author's comments].
  2. with M Cross and H Greenside, Pattern formation and dynamics in nonequilibrium systems, scopus (January, 2009), pp. 1-535, Cambridge University Press [catalogue.asp], [doi]  [abs].
  3. M Li and H Greenside, Stable propagation of a burst through a one-dimensional homogeneous excitatory chain model of songbird nucleus HVC., Phys Rev E Stat Nonlin Soft Matter Phys, vol. 74 no. 1 Pt 1 (December, 2006), pp. 011918 [16907138], [doi]  [abs].
  4. A Jayaraman, JD Scheel, HS Greenside and PF Fischer, Characterization of the domain chaos convection state by the largest Lyapunov exponent, Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, vol. 74 no. 1 (December, 2006), pp. 016209 (12 pages), American Physical Society [doi]  [abs].
  5. KH Chiam, MC Cross, HS Greenside and PF Fischer, Enhanced tracer transport by the spiral defect chaos state of a converting fluid, Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, vol. 71 no. 3 (2005), pp. 036205 [doi]  [abs].

Highlight:
After working in nonlinear dynamics and nonequilibrium pattern formation for many years, my research group has begun studying problems in theoretical neurobiology in collaboration with Professor Richard Mooney's experimental group on birdsong at Duke University. The main scientific question we are interested in is how songbirds learn to sing their song, which is a leading experimental paradigm for the broader neurobiology question of how animals learn behaviors that involve sequences of time. My group is interested in problems arising at the cellular and network levels (as opposed to behavioral levels). One example is understanding the origin, mechanism, and eventually the purpose of highly sparse high-frequency bursts of spikes that are observed in the nucleus HVC of songbird brains (this is the first place where auditory information seems to be combined with motor information). A second example is to understand how auditory and motor information are combined, e.g., there are data that suggests that the same group of neurons that instruct the respiratory and syringeal muscles to produce song (again in nucleus HVC) are also involved in recognizing song. A third example is trying to understand changes in anatomy (increases in spine stability) that were recently observed in living brain tissue as a bird learns its song.

Current Ph.D. Students   (Former Students)

    Postdocs Mentored